pep started with a question. The sponsorship sector is stuck measuring exposure and media value, so could software apply the latest effectiveness research and marketing science to any partnership, quickly, without watering down the thinking?
Over months of development and testing, Box Count's strategy workflow was encoded and its outputs refined until they met the standard Box Count holds its own client work to.
The Measurement Module is built on Data Agents' DiagnosticAI and AgentLab. DiagnosticAI puts a partnership's data in one place (brand tracking, social, ticketing and sales) and measures it against the objectives the deal was signed on. AgentLab builds the AI agents that keep that measurement running through the season and model what a change in budget would do. Experienced data strategists decide what each agent measures and check its results before they reach a report. Every figure comes from the client's own data with every assumption shown.
The method keeps learning. Every piece of research Box Count publishes and every framework it develops becomes a new knowledge module, built on the established principles of marketing science, so every recommendation rests on the evidence of what works.
Where the people come in
The software does the analysis. On managed accounts, Box Count and Data Agents add the judgement: which objectives a partnership can realistically hit, what the data is actually saying, what to change mid-season and how to make the renewal case.